Update README.md

README.md

@@ -7,7 +7,7 @@ license: cc-by-nc-4.0
 [![Preprint](https://img.shields.io/badge/arXiv-2510.13768-green?logo=bookstack&logoColor=white)](https://arxiv.org/abs/2510.13768)
 [![Model License](https://img.shields.io/badge/Model_License-CC_BY--NC_4.0-lightgrey)](https://creativecommons.org/licenses/by-nc/4.0/deed.en)
 
-CortexMAE is an fMRI foundation model trained on 2.1K hours of fMRI data from the [Human Connectome Project](https://www.humanconnectome.org/study/hcp-young-adult/overview) using the [masked autoencoder](https://arxiv.org/abs/2205.09113) framework. We release a family of models trained with different fMRI input representations:
+CortexMAE is an fMRI foundation model trained on 2.1K hours of fMRI data from the [Human Connectome Project](https://www.humanconnectome.org/study/hcp-young-adult/overview) using masked autoencoder. We release a family of models trained with different fMRI input representations:
 - **CortexMAE-P**: a computationally efficient model based on the Schaefer-400 parcellation.
 - **CortexMAE-F**: our flagship model based on fMRI flat maps.
 - **CortexMAE-V**: a dense volume model based on an efficient cortex-only representation.